Develop, deploy, and maintain autonomy capabilities for physical AI systems.
- •As an AcuityOS engineer, you’ll develop, deploy, and maintain the backbone of all-domain autonomy capabilities, from inter-agent communications to hardware and simulation interfaces.
- •Integration with new vehicles and hardware is a critical function.
- •This position requires both field and office-based work, with significant time spent deploying and testing software on autonomous vehicles in real-world environments.
- •Key Responsibilities Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and vehicle autopilots.
- •Participate in hands-on fieldwork, deploying software on vehicles and ensuring proper functionality in dynamic, real-world environments.
- •Integrate sensors (e.g., RADAR, cameras, GPS, SONAR) and vehicle autopilot systems into the autonomous vehicle framework.
- •Deploy and optimize perception pipelines and vehicle autonomy SW, ensuring robust and safe vehicle operation.
- •Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations.
- •Requirements MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 years of relevant experience designing multi-agent autonomy.
- •Strong proficiency in Linux and command-line tools.
View original posting →